CRYO-ELECTRON MICROSCOPY IMAGE PROCESSING METHOD AND APPARATUS, TERMINAL, AND STORAGE MEDIUM

    公开(公告)号:US20250112021A1

    公开(公告)日:2025-04-03

    申请号:US18891450

    申请日:2024-09-20

    Abstract: The present disclosure provides a cryo-electron microscopy image processing method and apparatus, a terminal, and a storage medium. The cryo-electron microscopy image processing method includes: obtaining a cryo-electron microscopy image; encoding the cryo-electron microscopy image into latent variables through an encoder; converting the latent variables into an atomic model structure through a decoder; correcting the atomic model structure using a loss function to obtain a corrected atomic model structure, where the loss function includes a bond length constraint loss function, a clash constraint loss function, and a spring constraint loss function; and converting, through a projector module, the corrected atomic model structure into a density map represented by Gaussian spheres, and projecting the density map to obtain a projection image.

    Feature extraction of multimedia data

    公开(公告)号:US12260628B2

    公开(公告)日:2025-03-25

    申请号:US17724140

    申请日:2022-04-19

    Applicant: Lemon Inc.

    Abstract: Implementations of the present disclosure relate to methods, devices, and computer program products of extracting a feature for multimedia data that comprises a plurality of medium types. In a method, a first feature is determined for a first medium type in the plurality of medium types by masking a portion in a first medium object with the first medium type. A second feature is determined for a second medium type other than the first medium type in the plurality of medium types. The feature is generated for the multimedia data based on the first and second features. With these implementations, multiple medium types are considered in the feature extraction, and thus the feature may fully reflect various aspects of the multimedia data in an accurate way.

    EXPRESSION DRIVING METHOD AND DEVICE, AND EXPRESSION DRIVING MODEL TRAINING METHOD AND DEVICE

    公开(公告)号:US20250078570A1

    公开(公告)日:2025-03-06

    申请号:US18726709

    申请日:2023-01-04

    Applicant: Lemon Inc.

    Abstract: The present disclosure provides an expression driving method and apparatus, and a training method and apparatus of an expression driving model. The expression driving method includes acquiring a first video; and inputting the first video into a pre-trained expression driving model to obtain a second video. The expression driving model is trained based on a target sample image and a plurality of first sample images. A facial image in the second video is generated based on the target sample image. A gesture expression feature of the facial image in the second video is the same as a gesture expression feature of a facial image in the first video.

    MULTI-VIEW 3D DIFFUSION
    177.
    发明申请

    公开(公告)号:US20250078392A1

    公开(公告)日:2025-03-06

    申请号:US18238780

    申请日:2023-08-28

    Applicant: Lemon Inc.

    Abstract: An image generation system is described. The system comprises a neural network model configured to perform a diffusion process to generate a set of multi-view images from a same input prompt. The set of multi-view images have a same subject from different view orientation. The neural network model comprises a self-attention layer configured to relate pixels across the set of multi-view images.

    MODEL TRAINING OF ACTOR MODEL AND CRITIC MODEL

    公开(公告)号:US20250061339A1

    公开(公告)日:2025-02-20

    申请号:US18936628

    申请日:2024-11-04

    Applicant: Lemon Inc.

    Abstract: Embodiments of the present disclosure provide a solution for model training. A method comprises: performing training of a critic model and training of an actor model according to an alternating scheme. The actor model is configured to generate a response for an input question based on a feedback generated by the critic model, and the critic model is configured to generate a feedback to a response generated by the actor mode.

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